Triple
T14787221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 太庙 |
E347557
|
entity |
| Predicate | 地理环境 |
P52634
|
FINISHED |
| Object | 北京中轴线东侧区域 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 北京中轴线东侧区域 | Statement: [太庙, 地理环境, 北京中轴线东侧区域]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地理环境 Context triple: [太庙, 地理环境, 北京中轴线东侧区域]
-
A.
geographicalNature
chosen
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
B.
typicalGeologicEnvironment
Indicates the characteristic geologic setting or conditions in which something (such as a rock, mineral, or process) most commonly occurs or forms.
-
C.
geographicalEffect
Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
-
D.
influencesTopographyOf
Indicates that one entity affects, shapes, or modifies the physical surface features or terrain characteristics of another entity.
-
E.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.